Floodplain Mapping Using Python - Latest Information & Updates 2026

Web Reference: Oct 22, 2024 · In this notebook, we have demonstrated how to use a UnetClassifier model with ArcGIS API for Python to extract flood water and permanent waterbodies. In Part 1, we covered how Sentinel-1 SAR data can be used for flood inundation mapping and monitoring. The tool's workflow follows the UN-SPIDER Recommended Practice on Radar-based Flood Mapping and is illustrated in the chart below. After entering user specifications, Sentinel-1 data can directly be downloaded from the Copernicus Open Access Hub. The FLOod Mapping PYthon toolbox is a free and open-source python toolbox for mapping of floodwater. It exploits the dense Sentinel-1 GRD intensity time series and is based on four processing steps. In the first step, a selection of Sentinel-1 images related to pre-flood (baseline) state and flood state is performed. In the second step, the preprocessing of the selected images is performed in order to create a co-registered stack with all the pre-flood and flood images. In the third step, a statistical temporal analysis is performed and a t-score map that represents the changes due to flood event is calculated. Finally, in the fourth step, a multi-scale iterative thresholding algorithm based on t-score map is performed to extract the final flood map. We believe that the end-user community can benefit by exploiting the FLOODPY's floodwater maps.

YouTube Excerpt: This tutorial will introduce a

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Last Updated: April 6, 2026

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